<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<HTML xmlns="http://www.w3.org/1999/xhtml"><HEAD><META content="IE=11.0000" http-equiv="X-UA-Compatible">
<META http-equiv="Content-Type" content="text/html; charset=utf-8">

<TITLE>Chao Tan</TITLE>
<LINK href="style.css" rel="stylesheet" type="text/css">
<STYLE type="text/css">
        .auto-style1 {
            margin-top: 20px;
            margin-bottom: 10px;
            list-style-type: none;
            direction: ltr;
        }
</STYLE>
<META name="GENERATOR" content="MSHTML 11.00.10570.1001"></HEAD>






<BODY class="body">
<H1 class="title"> Chao Tan's Homepage </H1><BR>
<DIV class="style3"><BR>I am now a graduate in Software Engineering from Chongqing University of Technology.
<BR>Here is my <A href="https://">curriculum vitae</A>.
</DIV>






<H3 class="style3">Research Interests</H3>
<UL class="style4">
    <LI class="listitem2">Machine Learning, Computer Vision</LI>
    <LI class="listitem2">Smart Meteorolgy, Computer Vision based Weather Analysis and Application</LI>
    <LI class="listitem2">Intrinsic Image Decomposition, Transfer Learning</LI>
</UL>





<H3 class="style3">Education</H3>
<UL class="style4">
    <LI class="listitem"><STRONG>B.Eng in Software Engineering, Sept 2015-June 2019,</STRONG> <A href="https://www.cqut.edu.cn/">Chongqing University of Technology</A><STRONG>.</STRONG>
        <BR><span class="awardcolor">First-class Scholarship at School Level(top 5%)</span>
        <BR><span class="awardcolor">Excellent bachelor's degree thesis at school Level(top 3%)</span>
    </LI>
</UL>





<h3 class="style3">Employment</h3>
<ul class="style4">
    <strong>Feb 2019-Jun 2019; Research Intern, Duke Kunshan University.</strong>
    <BR><span class="expcolor">I worked on manufacturing data analysis and product defect detection in Big Data Research Center.</span>
</ul>





<H3 class="style3">Latest Projects</H3>
<UL class="style4">
    <LI class="auto-style1"><STRONG>Learning to Efficient Cloud Motion Wind using Deep Learning Approach</STRONG> <A href="projects/cmw-net/project-page.html">[project page]</A>
        <BR>Chao Tan
        <BR>Downloads: <A href="https://">[arxiv paper]</A>
        <A href="https://cloud.189.cn/t/NRbARji2A3Qv">[dataset]</A>
        <A href="https://cloud.189.cn/t/zyI3iyNZVV7n">[pre-trained models]</A>
        <A href="https://github.com/chao-tan/CMWNet">[source code]</A>
    </LI>

    <LI class="listitem"><STRONG>Unsupervised Shadow Removal using Target Consistency Generative Adversarial Network</STRONG> <A href="projects/tc-gan/project-page.html">[project page]</A>
        <BR>Chao Tan, Xin Feng
        <BR>Downloads: <A href="https://">[arxiv paper]</A>
        <A href="https://cloud.189.cn/t/vU7F73A3m2me">[pre-trained models]</A>
        <A href="https://github.com/chao-tan/TC-GAN">[source code]</A>
    </LI>

    <LI class="listitem"><STRONG>TCLNet: Learning to Locate Typhoon Center using Deep Neural Network</STRONG> <A href="projects/tcl-net/project-page.html">[project page]</A>
        <BR>Chao Tan
        <BR>Downloads: <A href="https://">[arxiv paper]</A>
        <A href="https://cloud.189.cn/t/vYfqyu2iMbyu">[dataset]</A>
        <A href="https://cloud.189.cn/t/Ar2m2qfm2eaa">[pre-trained models]</A>
        <A href="https://github.com/chao-tan/TCLNet">[source code]</A>
    </LI>

    <LI class="listitem"><STRONG>Improving Typhoon Center Location Models by Augmented Typhoon Image and Distillation Methods</STRONG> <A href="projects/tcl-plus/project-page.html">[project page]</A>
        <BR>Chao Tan
        <BR>Downloads: <A href="https://">[arxiv paper]</A>
        <A href="https://cloud.189.cn/t/EBj6j2jiUNza">[dataset]</A>
        <A href="https://github.com/chao-tan/TCL-PLUS">[source code]</A>
        <A href="https://">[demos]</A>
    </LI>

    <LI class="listitem"><STRONG>FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting</STRONG> <A href="projects/forecast-clstm/project-page.html">[project page]</A>
        <BR>Chao Tan, Xin Feng, Jianwu Long, Geng Li
        <BR><span class="conferencecolor">2018 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2018.(oral presentation)</span>
        <BR>Downloads: <A href="https://arxiv.org/ftp/arxiv/papers/1905/1905.07700.pdf">[arxiv paper]</A>
        <A href="https://cloud.189.cn/t/aqqy2uYZviMj">[dataset]</A>
        <A href="https://github.com/chao-tan/FORECAST-CLSTM">[source code]</A>
    </LI>
</ul>






<H3 class="style3">Skills & Qualifications</H3>
<UL class="style4">
    Proficient : Python, Java, PyTorch.<br/>
    Experienced: C, Matlab, TensorFlow, Keras, MySQL Server, JavaScript, Android Development.<br/>
    Acquaintance: Maple, MiniTab.
</UL>
<UL class="style4">
    Deep Learning Engineer Associate(Baidu Technology Certification).
</UL>






<H3 class="style3">Contact Me</H3>
<UL class="style4">
    <LI class="auto-style1"><STRONG>Email: </STRONG>istvartan@outlook.com
        <STRONG>. </STRONG> <A href="https://github.com/chao-tan">[github]</A> <A href="https://gitee.com/chao-tan">[gitee]</A> <A href="https://www.linkedin.com/in/chao-tan-896371167/">[linkin]</A>
    </LI>
</UL>




</BODY></HTML>
